RRepoGEO

REPOGEO REPORT · LITE

XiaomiMiMo/MiMo-VL

Default branch main · commit b396b5cc · scanned 6/9/2026, 6:18:05 PM

GitHub: 643 stars · 30 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface XiaomiMiMo/MiMo-VL, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening to clearly state MiMo-VL's identity

    Why:

    CURRENT
    The README currently opens with a large banner and "MiMo-VL Technical Report".
    COPY-PASTE FIX
    Add the following sentence immediately after the main title/banner: "MiMo-VL is a state-of-the-art open-source vision-language model designed for comprehensive multimodal understanding and generation tasks."
  • mediumabout#2
    Expand the repository description for better categorization

    Why:

    CURRENT
    MiMo-VL
    COPY-PASTE FIX
    MiMo-VL: A state-of-the-art open-source vision-language model for comprehensive multimodal understanding and generation.
  • mediumreadme#3
    Add a prominent "Quick Start" or "Usage" section to the README

    Why:

    CURRENT
    The README links to a Gradio Demo and Evaluation Framework but lacks a direct "how-to-use" section.
    COPY-PASTE FIX
    Add a new section titled "🚀 Quick Start" or "💡 Usage" with clear instructions and code snippets for common tasks like visual question answering, image captioning, or multimodal chat, linking to the Gradio demo for a live example.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface XiaomiMiMo/MiMo-VL
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LLaVA
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LLaVA · recommended 1×
  2. BLIP-2 · recommended 1×
  3. InstructBLIP · recommended 1×
  4. MiniGPT-4 · recommended 1×
  5. Qwen-VL · recommended 1×
  • CATEGORY QUERY
    What are the best open-source vision-language models for multimodal understanding tasks?
    you: not recommended
    AI recommended (in order):
    1. LLaVA
    2. BLIP-2
    3. InstructBLIP
    4. MiniGPT-4
    5. Qwen-VL
    6. CogVLM

    AI recommended 6 alternatives but never named XiaomiMiMo/MiMo-VL. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I implement visual question answering in my application using a pre-trained model?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers (huggingface/transformers)
    2. OpenVINO Toolkit (openvinotoolkit/openvino)
    3. PyTorch (pytorch/pytorch)
    4. torchvision (pytorch/vision)
    5. TensorFlow (tensorflow/tensorflow)
    6. Keras (keras-team/keras)
    7. TensorFlow Hub
    8. MMAction2 (open-mmlab/mmaction2)
    9. DeepPavlov (deepmipt/deeppavlov)

    AI recommended 9 alternatives but never named XiaomiMiMo/MiMo-VL. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of XiaomiMiMo/MiMo-VL?
    pass
    AI named XiaomiMiMo/MiMo-VL explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts XiaomiMiMo/MiMo-VL in production, what risks or prerequisites should they evaluate first?
    pass
    AI named XiaomiMiMo/MiMo-VL explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo XiaomiMiMo/MiMo-VL solve, and who is the primary audience?
    pass
    AI named XiaomiMiMo/MiMo-VL explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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XiaomiMiMo/MiMo-VL — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite